Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

Uses of Class
de.lmu.ifi.dbs.elki.algorithm.result.PartitionResults

Packages that use PartitionResults
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation Package to collect correlation clustering algorithms suitable as a task for the KDDTask main routine. 
de.lmu.ifi.dbs.elki.algorithm.result.clustering Package to collect result classes for the results of clustering algorithms. 
 

Uses of PartitionResults in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation
 

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation declared as PartitionResults
private  PartitionResults<V> COPAA.result
          Holds the result.
 

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation that return PartitionResults
protected  PartitionResults<V> COPAC.runPartitionAlgorithm(Database<V> database, Map<Integer,List<Integer>> partitionMap)
           
protected  PartitionResults<V> COPAA.runPartitionAlgorithm(Database<V> database, Map<Integer,List<Integer>> partitionMap)
          Runs the partition algorithm and creates the result.
 

Uses of PartitionResults in de.lmu.ifi.dbs.elki.algorithm.result.clustering
 

Subclasses of PartitionResults in de.lmu.ifi.dbs.elki.algorithm.result.clustering
 class PartitionClusteringResults<O extends DatabaseObject>
          A result for a partitioning clustering algorithm providing a single result for a single partition.
 


Release 0.1 (2008-07-10_1838)